Abstract
Sendai Framework for Disaster Risk Reduction 2015-2030 identify among other principles that disaster risk reduction requires a multi-hazard approach and inclusive risk-informed decision-making. The development of a harmonized decision support tool to ensure that planning decisions are informed about the hazards affecting a given territory, the vulnerability of different land uses, exposed elements and options available to mitigate risks is crucial in the context of spatial planning. The objective of this paper is to describe the qualitative risk assessment model used in the development of the RiskOTe decision support system (DSS). RiskOTe is a spatial decision support system to assist spatial planning integrating the risk management component at municipal level. The qualitative risk assessment model used in RiskOTe is based on risk matrix that relates consequences and likelihood. Oeiras municipality was used as case study to demonstrate the applicability of the spatial decision support system. The scenarios obtained from the case study show that decision-making integrating risk analysis can be supported on a solid basis of information obtained from the system.
Highlights
Sendai Framework for Disaster Risk Reduction 2015-2030 identify among other principles that disaster risk reduction requires a multi-hazard approach and inclusive risk-informed decision-making based on the open exchange and dissemination of disaggregated data, including by sex, age and disability, as well as on the accessible, up-to-date, comprehensible, science-based, nonsensitive risk information, complemented by traditional knowledge (UN, 2015)
Of significant importance to achieving the targets set out by Sendai Framework is the need for risk-informed decision-making based on Decision Support Systems (DSSs).Newman et al (2017) states that the development and use of decision support systems for natural hazard risk reduction is increasingly important, mainly because natural hazards are having a significant impact on communities and economies; losses due to natural disasters are expected to increase into the future; risk reduction is broadly recognised as being more effective than response and recovery and risk reduction and residual risk affect communities and the natural environment in multiple ways, with complexity and uncertainty in causal processes driving hazard impacts
This paper presents the qualitative risk assessment model established in the implementation of RiskOTe DSS based
Summary
Sendai Framework for Disaster Risk Reduction 2015-2030 identify among other principles that disaster risk reduction requires a multi-hazard approach and inclusive risk-informed decision-making based on the open exchange and dissemination of disaggregated data, including by sex, age and disability, as well as on the accessible, up-to-date, comprehensible, science-based, nonsensitive risk information, complemented by traditional knowledge (UN, 2015). An important decision problem associated with disaster risk reduction is the promotion of disaster risk assessments into land-use policy development and implementation, including spatial planning. In Europe, Greiving et al (2006) revealed that the role of spatial planning in risk assessment and management show many ways and has been overestimated. These differences were studied by Peltier(2005), comparing the risk maps contents, the type of zoning and the associated restrictions in spatial planning between Switzerland (Valais), France (Hautes Pyrenees) and Italy (Aosta Valley), showing the existing differences and the importance of spatial planning and risk maps in disaster risk reduction
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